Oral Presentation
Best abstracts in lung function
In honour of Prof. Waldemar Tomalak
10:45
Late Breaking Abstract - Applying artificial intelligence on pulmonary function tests improves the diagnostic accuracy
M. Topalovic(Kessel-lo, Belgium)
COI
1
11:00
Effect of different mask design for measuring respiratory input impedance in pre-school children by forced oscillation technique (FOT)
P. Pompilio(Milano (MI), Italy)
COI
2
11:15
Comparison between within-test and triplicate recordings of impedance by forced oscillation technique (FOT)
A. Gobbi(Milano (MI), Italy)
COI
3
11:30
Forced oscillation technique: an alternative outcome measure for methacholine provocation test.
R. Ong-Salvador(Amsterdam, Netherlands)
COI
4
11:45
Applying machine learning and pulmonary function data to detect interstitial lung disease in systemic sclerosis.
N. LE-DONG(Sorinnes, Belgium)
COI
5
12:00
Accuracy of the ATS/ERS decision tree in the interpretation of lung function tests in patients with interstitial lung diseases
A. Tishkov(St. Petersburg, Russian Federation)
COI
6
12:15
Comparison between results of spirometry performed with the ATS/ERS quantitative criteria and simple visual inspection criteria
M. Chushkin(Moscow, Russian Federation)
COI
7
12:30
Inspiratory capacity in healthy people living at moderate altitude.
I. Thirion Romero(Coyoacan, Mexico)
COI
8
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